Without Rice, Even the Cleverest Housewife Cannot Cook: Sustainable Livelihoods Research in a Poor Chinese Village

Ling Zhong1, Megan Blaxland2 and Ting Zuo1 한국사회복지학회 2015 Asian Social Work and Policy Review Vol.9 No.1

This paper presents findings of a qualitative study investigating the assets, the risks and shocks, and the anti-risk mechanisms of the households of a poor village in rural northern China. The paper explores the vulnerability of the rural households to becoming impoverished and presents some implications for Chinese social policy. The research shows that income sources and assets of the households were considerably varied, and that this, in turn, affected the kinds of strategies they could implement to manage risk. Poorer households had fewer assets, smaller social networks, and less capacity to manage risk than better-off households, despite all living in the same poor village. Moreover, poorer households were much more likely to have family members with chronic ill-health or disability. These findings point to a need to ensure better access for all rural households to social support, health and care services, and opportunities to find new sources of income within their village.

How the International Cooperation in “Sci-tech +Industry” Model Working in Developing Mango as “One Village and One Product”: Citing the Industrial Upgrading Experience in Baihua Village as An Example

Yanxiu Zuo(Yanxiu Zuo),Junxiang Qian(Junxiang Qian),Lichi Li(Lichi Li),Zhangguan Ni(Zhangguan Ni),Jun Wu(Jun Wu),Huiyun Zhang(Huiyun Zhang),Yufu Chen(Yufu Chen),Huiyun Zhang(Huiyun Zhang),Li Yao(Yao L 아시아사회과학학회 2022 Jornal of Asia Social Science Vol.9 No.1

Baihua Village is a typical mountainous village in the southwest part of Lujiang county, Longyang District, Baoshan City, Yunnan Province. Residents there made a living on the land, including growing sugarcane and planting maize, whose annual income was no more than 2000 yuan before 2006. Since then when a research institute has set it as one of the pilot villages for mango growing impetus with sci-tech. For the sake of “One village and One Product”, mango breeding and relevant techniques have been applied to daily work. Within years, the developed model of has been explored: simply “villages are the main carriers facilitated by the specialized cooperative for mango growing, back-up by science and technology. Technical trainings serve as the driving force for the leading growers, meanwhile, sellers work as the bridge link the producing-end and the markets”.

STRUCTURAL AND SPECTRAL PROPERTIES OF k-QUASI-*-PARANORMAL OPERATORS

ZUO, FEI,ZUO, HONGLIANG The Kangwon-Kyungki Mathematical Society 2015 한국수학논문집 Vol.23 No.2

For a positive integer k, an operator T is said to be k-quasi-*-paranormal if ${\parallel}T^{k+2}x{\parallel}{\parallel}T^kx{\parallel}{\geq}{\parallel}T^*T^kx{\parallel}^2$ for all x $\in$ H, which is a generalization of *-paranormal operator. In this paper, we give a necessary and sufficient condition for T to be a k-quasi-*-paranormal operator. We also prove that the spectrum is continuous on the class of all k-quasi-*-paranormal operators.

A Novel Recursive Algorithm for Efficient ZF-OSIC Detection in a V-BLAST System

( Zuo-liang Yin ),( Xing-peng Mao ),( Qin-yu Zhang ),( Nai-tong Zhang ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.12

To reduce the implementation complexity of the Vertical Bell Labs layered space-time (V-BLAST) systems with respect to the zero-forcing (ZF) criterion, a computationally efficient recursive algorithm is proposed. A fast implementation of the proposed algorithm is developed and its complexity is analyzed in detail. The proposed algorithm matches the ZF-OSIC detection well, and its three significant advantages can be demonstrated by analyses and simulations. Firstly, its speedups over the conventional ZF-OSIC with norm-based ordering, the original fast recursive algorithm (FRA) and the fastest known algorithm (FKA) in the number of flops are 1.58, 2.33 and 1.22, respectively. Secondly, a much simpler implementation than FRA and FKA can be expected. Finally, the storage requirements are lower than those of FRA and FKA. These advantages make the proposed algorithm more efficient and practical.

c-Cbl-Mediated Neddylation Antagonizes Ubiquitination and Degradation of the TGF-β Type II Receptor

Zuo, W.,Huang, F.,Chiang, Y.,Li, M.,Du, J.,Ding, Y.,Zhang, T.,Lee, H.,Jeong, L.,Chen, Y.,Deng, H.,Feng, X.H.,Luo, S.,Gao, C.,Chen, Y.G. Cell Press 2013 Molecular cell Vol.49 No.3

Transforming growth factor β (TGF-β) is a potent antiproliferative factor in multiple types of cells. Deregulation of TGF-β signaling is associated with the development of many cancers, including leukemia, though the molecular mechanisms are largely unclear. Here, we show that Casitas B-lineage lymphoma (c-Cbl), a known proto-oncogene encoding an ubiquitin E3 ligase, promotes TGF-β signaling by neddylating and stabilizing the type II receptor (TβRII). Knockout of c-Cbl decreases the TβRII protein level and desensitizes hematopoietic stem or progenitor cells to TGF-β stimulation, while c-Cbl overexpression stabilizes TβRII and sensitizes leukemia cells to TGF-β. c-Cbl conjugates neural precursor cell-expressed, developmentally downregulated 8 (NEDD8), a ubiquitin-like protein, to TβRII at Lys556 and Lys567. Neddylation of TβRII promotes its endocytosis to EEA1-positive early endosomes while preventing its endocytosis to caveolin-positive compartments, therefore inhibiting TβRII ubiquitination and degradation. We have also identified a neddylation-activity-defective c-Cbl mutation from leukemia patients, implying a link between aberrant TβRII neddylation and leukemia development.

Molecular Cloning and mRNA Expression of the Porcine Insulin-responsive Glucose Transporter (GLUT4)

Zuo, Jianjun,Dai, Fawen,Feng, Dingyuan,Cao, Qingyun,Ye, Hui,Dong, Zemin,Xia, Weiguang Asian Australasian Association of Animal Productio 2010 Animal Bioscience Vol.23 No.5

Insulin-responsive glucose transporter 4 (GLUT4) is a member of the glucose transporter family and mainly presents in skeletal muscle and adipose tissue. To clarify the molecular structure of porcine GLUT4, RACE was used to clone its cDNA. Several cDNA clones corresponding to different regions of GLUT4 were obtained by amplifying reverse-transcriptase products of total RNA extracted from Landrace porcine skeletal muscles. Nucleotide sequence analysis of the cDNA clones revealed that porcine GLUT4 cDNA was composed of 2,491 base pairs with a coding region of 509 amino acids. The deduced amino acid sequence was over 90% identical to human, rabbit and cattle GLUT4. The tissue distribution of GLUT4 was also examined by Real-time RT-PCR. The mRNA expression abundance of GLUT4 was heart>liver, skeletal muscle and brain>lung, kidney and intestine. The developmental expression of GLUT4 and insulin receptor (IR) was also examined by Real-time RT-PCR using total RNA extracted from longissimus dorsi (LM), semimembranosus (SM), and semitendinosus (SD) muscle of Landrace at the age of 1, 7, 30, 60 and 90 d. It was shown that there was significant difference in the mRNA expression level of GLUT4 in skeletal muscles of Landrace at different ages (p<0.05). The mRNA expression level of IR also showed significant difference at different ages (p<0.05). The developmental change in the mRNA expression abundance of GLUT4 was similar to that in IR, and both showed a higher level at birth and 30 d than at other ages. However, there was no significant tissue difference in the mRNA expression of GLUT4 or IR (p>0.05). These results showed that the nucleotide sequence of the cDNA clones was highly identical with human, rabbit and cattle GLUT4 and the developmental change of GLUT4 mRNA in skeletal muscles was similar to that of IR, suggesting that porcine GLUT4 might be an insulin-responsive glucose transporter. Moreover, the tissue distribution of GLUT4 mRNA showed that GLUT4 might be an important nutritional transporter in porcine skeletal muscles.

EXISTENCE AND EXPONENTIAL STABILITY OF ALMOST PERIODIC SOLUTION FOR SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS AND LARGE IMPULSES

Zuo, Yi,Wang, Yaonan,Huang, Lihong,Li, Chunsheng Korean Mathematical Society 2009 대한수학회지 Vol.46 No.5

This paper considers the problem of existence and exponential stability of almost periodic solution for shunting inhibitory cellular neural networks with distributed delays and large impulses. Based on the contraction principle and Gronwall-Bellman's inequality, some sufficient conditions are obtained. The results of this paper are new and they complement previously known results.

A force-based element for direct analysis using stress-resultant plasticity model

Zuo-Lei Du,Yao-Peng Liu,Siu-Lai Chan 국제구조공학회 2018 Steel and Composite Structures, An International J Vol.29 No.2

The plastic hinge method and the plastic zone method are extensively adopted in displacement-based elements and force-based elements respectively for second-order inelastic analysis. The former enhances the computational efficiency with relatively less accurate results while the latter precisely predicts the structural behavior but generally requires more computer time. The displacement-based elements receive criticism mainly on plasticity dominated problems not only in accuracy but also in longer computer time to redistribute the forces due to formation of plastic hinges. The multi-element-per-member model relieves this problem to some extent but will induce a new problem in modeling of member initial imperfections required in design codes for direct analysis. On the contrary, a force-based element with several integration points is sufficient for material yielding. However, use of more integration points or elements associated with fiber section reduces computational efficiency. In this paper, a new force-based element equipped with stress-resultant plasticity model with minimal computational cost is proposed for second-order inelastic analysis. This element is able to take the member initial bowing into account such that one-element-per-member model is adequate and complied with the codified requirements of direct analysis. This innovative solution is new and practical for routine design. Finally, several examples demonstrate the validity and accuracy of the proposed method.

Nonlinear boundary parameter identification of bridges based on temperature-induced strains

Zuo-Cai Wang,Guo-Peng Zha,Wei-Xin Ren,Ke Hu,Hao Yang 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.68 No.5

Temperature-induced responses, such as strains and displacements, are related to the boundary conditions. Therefore, it is required to determine the boundary conditions to establish a reliable bridge model for temperature-induced responses analysis. Particularly, bridge bearings usually present nonlinear behavior with an increase in load, and the nonlinear boundary conditions cause significant effect on temperature-induced responses. In this paper, the bridge nonlinear boundary conditions were simulated as bilinear translational or rotational springs, and the boundary parameters of the bilinear springs were identified based on the measured temperature-induced responses. First of all, the temperature-induced responses of a simply support beam with nonlinear translational and rotational springs subjected to various temperature loads were analyzed. The simulated temperature-induced strains and displacements were assumed as measured data. To identify the nonlinear translational and rotational boundary parameters of the bridge, the objective function based on the temperature-induced responses is then created, and the nonlinear boundary parameters were further identified by using the nonlinear least squares optimization algorithm. Then, a beam structure with nonlinear translational and rotational springs was simulated as a numerical example, and the nonlinear boundary parameters were identified based on the proposed method. The numerical results show that the proposed method can effectively identify the parameters of the nonlinear boundary conditions. Finally, the boundary parameters of a real arch bridge were identified based on the measured strain data and the proposed method. Since the bearings of the real bridge do not perform nonlinear behavior, only the linear boundary parameters of the bridge model were identified. Based on the bridge model and the identified boundary conditions, the temperature-induced strains were recalculated to compare with the measured strain data. The recalculated temperature-induced strains are in a good agreement with the real measured data.

A Study on BMPR-IB Genes of Bayanbulak Sheep

Zuo, Beiyao,Qian, Hongguang,Wang, Ziyu,Wang, Xu,Nisa, Noor,Bayier, Aierdin,Ying, Shijia,Hu, Xiaolong,Gong, Changhai,Guo, Zhiqin,Wang, Feng Asian Australasian Association of Animal Productio 2013 Animal Bioscience Vol.26 No.1

The average twin lambing rate of Bayanbulak sheep is 2% to 3%. However, a flock of sheep with a close genetic relationship and an average of 2 to 3 lambs per birth has been found recently. To determine the major genes controlling the prolificacy of the flock in the present study, the flock was designated A while 100 normal Bayanbulak sheep were randomly selected to comprise the control flock B. Ligase detection reaction method was applied to detect and analyze the 10 mutational loci of the 3 candidate prolificacy genes including bone morphogenetic protein type I receptors, bone morphogenetic protein 15, and growth differentiation factor 9. The 10 mutational loci are as follows: FecB locus of the BMPR-IB gene; $FecX^I$, $FecX^B$, $FecX^L$, $FecX^H$, $FecX^G$, and $FecX^R$ of the BMP15 gene; and G1, G8, and FecTT of the GDF9 gene. Two mutations including BMPR-IB/FecB and GDF9/G1 were found in Bayanbulak sheep. Independence test results of the two flocks demonstrate that the FecB locus has a significant effect on the lambing number of Bayanbulak sheep. However, the mutation frequency of the G1 locus in GDF9 is very low. Independence test results demonstrate that the GDF9 locus does not have a significant impact on the lambing performance of Bayanbulak sheep. Among the 10 detected loci, BMPR-IB/FecB is the major gene that influences the high lambing rate of Bayanbulak sheep.